\section*{Abstract}
	
	Airport baggage handling, today, is far from perfect. Baggage goes on the wrong airplane, gets lost, and in the end this costs a lot of money for the airlines, as well as frustration for the passengers.
	We explore methods of storing and analyzing spatio-temporal Radio Frequency Identification (RFID) baggage tracking data, with the purpose of generic multidimensional analysis, and specifically determining faults in the automated sorting system.
	A data warehouse schema is proposed, optimized for On-Line Analytical Processing (OLAP) queries. We outline the design of an Extract-Transform-Load (ETL) tool, compatible with the source data schema and our data warehouse.
	